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Exponentials / Estimation theory / Exponential family / Log-normal distribution / Fisher information / Normal distribution / Kullback–Leibler divergence / Statistics / Mathematical analysis / Probability and statistics


Annealing Between Distributions by Averaging Moments Roger Grosse Comp. Sci. & AI Lab MIT
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Document Date: 2014-01-10 16:19:46


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Company

Oxford University Press / Tk / True value / MIT Press / Averaging Moments Roger Grosse Comp / Quanta Computer / /

Facility

Computer Science University of Toronto Toronto / University of Toronto Toronto / /

IndustryTerm

generalized belief propagation algorithms / free-energy approximations / deep belief networks / Equilibrium free-energy differences / transition operator / path-based sampling algorithms / deep learning algorithms / /

Organization

Redwood Center / Royal Statistical Society / University of Toronto Toronto / MIT / UC Berkeley / Computer Science University of Toronto Toronto / Oxford University / /

Person

Amir Globerson / Benjamin J. Culpepper / John Skilling / Fabian Sinz / Ruslan Salakhutdinov / Hiroshi Nagaoka / Ruslan Salakhutdinov Depts / Nial Friel / Graham Taylor / Geoffrey E. Hinton / Jascha Sohl-Dickstein / Tommi Jaakkola / Andrew Gelman / Alan S. Willsky / Michael I. Jordan / Matthias Bethge / Radford Neal / Gundula Behrens / Mark Girolami / Aaron Courville / Xiao-Li Meng / Ajay Jasra / Merrilee Hurn / Geoffrey Hinton / Ian Murray / Sebastian Gerwinn / Lucas Theis / Guillaume Desjardins / Yoshua Bengio / Amari Nagaoka / Ben Calderhead / Arnaud Doucet / Christopher Jarzynski / /

Position

Prime Minister / Fisher information matrix / /

ProvinceOrState

Georgia / Massachusetts / /

PublishedMedium

Journal of the Royal Statistical Society / IEEE Transactions on Information Theory / Machine Learning / Journal of Machine Learning Research / /

Technology

estimate Zˆb Algorithm / artificial intelligence / path-based sampling algorithms / Machine Learning / Simulation / deep learning algorithms / generalized belief propagation algorithms / /

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